Data QA Engineer

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable so the people responsible for care and cost decisions can act faster with confidence.
We help health plans break down data silos to create a single trusted data foundation. That foundation powers better decisions so plans can improve outcomes reduce waste and deliver better experiences for members and providers alike.

Backed by $100M from top investors were tackling big challenges in an industry thats ready for change. Our platform enables GenAI use cases by delivering clean connected and reliable healthcare data that can support automation prioritization and decision workflowsand its why we are leading the way.

Our innovation begins with people. We are bold curious and collaborativebecause the best ideas come from working together. Ready to make an impact Join us and lets build the future together.

About the Role

As a Data Quality Engineer at Abacus Insights you will ensure the accuracy reliability and compliance of healthcare data powering our cloudnative data management platform. This role requires specialized knowledge in data engineering data quality frameworks and healthcare data domains. You will design automated testing procedures build data validation solutions and collaborate with engineering and product teams to maintain hightrust highquality datasets for health plan clients. Your work directly supports regulatory and operational integrity across Abacuss data ecosystem.

Your day to day

• Design develop and maintain automated data quality validation frameworks including rules engines anomaly detection and monitoring for completeness conformity integrity and timeliness
• Build and maintain automated test procedures for healthcare data ingestion transformation and downstream applications
• Investigate data quality defects analyze root causes and drive remediation recommendations
• Review and refine data quality strategies and contribute to standardized quality processes across pipelines
• Collaborate with Engineering Project Management Operations and Connector Engineering teams to translate business and compliance rules into technical test plans functional specifications and validation logic
• Review software and data defect reports highlight problem areas and document reproducible issues
• Develop and maintain QA automation scripts and dashboards using SQL Python Java and cloudnative tools
• Participate in system verification protocol design and crossfunctional design meetings
• Conduct data mining and profiling on clientspecific and healthcare datasets to identify quality risks and gaps
• Produce documentation including test plans validation criteria rule catalogs and QA runbooks
• Support ongoing monitoring of data quality and respond to internal and external data inquiries
• Ensure data security and quality processes align with PHI handling HIPAA SOC 2 and Abacus governance requirements

What You Bring to the Team

• Bachelors or Masters degree in Computer Science Information Systems Data Analytics or related technical field
• 5 years of experience in Data Quality Data Engineering or QA roles in healthcare technology or payer/provider environments
• Strong SQL expertise including data manipulation data validation and profiling at scale
• Experience working with healthcare data types such as enrollment medical claims pharmacy claims provider data or nontraditional health and wellness datasets
• Handson experience with automation scripting in Python or Java
• Experience with cloud computing environments such as AWS (S3 EC2 SSM Athena) and Databricks
• Experience with data integration workflows ETL/ELT pipelines data mapping and QA testing protocols
• Experience building automated QA applications dashboards or custom rule frameworks
• Ability to analyze complex datasets identify quality issues and generate actionable insights
• Excellent communication skills with the ability to work crossfunctionally and independently
• Strong organizational skills to manage multiple priorities and deadlines

What we would like to see but not required

• Exposure to Delta Lake Spark Airflow dbt or eventdriven architectures
• Knowledge of schema evolution management (Parquet Avro ORC JSON)
• Experience with advanced data quality lifecycle management in largescale cloud systems
• Familiarity with Terraform DevOps pipelines CI/CD workflows Gitbased version control
• Background in software debugging system testing methodologies or performance testing

What youll get in return

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee share in our success
• Growth-focused environment your development matters here

Work arrangements

• Standard hours: 8 hours/day 5 days/week
• Location: Pune Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas thoughts experiences and perspectives. Therefore we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive cultureone that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If theres anything we can do to support thatbig or smallplease let us know.